Nur Muhammad "Mahi" Shafiullah
Nur Muhammad "Mahi" Shafiullah is a postdoctoral researcher at Berkeley AI Research (BAIR) and Meta's Fundamental AI Research (FAIR) team, working with Jitendra Malik. He completed his PhD at New York University under Lerrel Pinto with a thesis titled "Towards Generally Intelligent Robots that Simply Work Everywhere." He is best known for his work on generalist robot policies and learning from diverse data, including co-creating the Open X-Embodiment dataset of 527 robot skills and developing the Dobb-E framework for learning household robotic manipulation. He was recognized as an Apple Scholar in AI/ML and was named to the MIT Technology Review's 35 Innovators Under 35 list.
“Nur Muhammad "Mahi" Shafiullah. UC Berkeley. Rising figure in robot learning, known for work on generalist robot policies and learning from diverse data. Co-equal contributor on this paper, representing the robot learning perspective.”
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